Bibliography#
Jeffrey A Cardille, Morgan A Crowley, David Saah, and Nicholas E Clinton. Cloud-based remote sensing with google earth engine: fundamentals and applications. Springer Nature, 2023.
Matt Forrest. What is modern gis? 2022. URL: https://forrest.nyc/what-is-modern-gis/.
Matt Forrest. Spatial SQL: A Practical Approach to Modern GIS Using SQL. Locate Press, 2023.
Robin Lovelace, Jakub Nowosad, and Jannes Muenchow. Geocomputation with R. CRC Press, 2019. ISBN 1-138-30451-4.
Malcolm P North, Ryan E Tompkins, Alexis A Bernal, Brandon M Collins, Scott L Stephens, and Robert A York. Operational resilience in western us frequent-fire forests. Forest Ecology and Management, 507:120004, 2022.
Edzer Pebesma and Roger Bivand. Spatial Data Science: With Applications in R. Chapman and Hall/CRC, Boca Raton, 2023. URL: https://doi.org/10.1201/9780429459016, doi:10.1201/9780429459016.
Lester Henry Reineke. Perfecting a stand-density index for even-aged forests. Journal of Agricultural Research, 1933.
Sergio J Rey. Show me the code: spatial analysis and open source. Journal of Geographical Systems, 11:191–207, 2009.
Sam A Reynolds, Sara Beery, Neil Burgess, Mark Burgman, Stuart HM Butchart, Steven J Cooke, David Coomes, Finn Danielsen, Enrico Di Minin, America Paz Duran, and others. The potential for ai to revolutionize conservation: a horizon scan. Trends in Ecology & Evolution, 2024.
Jean-Romain Roussel, Goodbody, TRH, and Piotr Tompalski. The lidR package. lidRBook, 2023.
John D Shaw. Application of stand density index to irregularly structured stands. CABI Digital Library, 2000.
Frank van der Most. Horizon scan of ai in nature conservation: comments on reynolds et al., 2024. 2024. URL: https://wildlabs.net/article/horizon-scan-ai-nature-conservation#comment-12064.
Qiusheng Wu. Earth Engine and Geemap: Geospatial data science with Python. Locate Press, 2023. URL: https://book.geemap.org/.
Ed Yong. An immense world: How animal senses reveal the hidden realms around us. Knopf Canada, 2022.